Explores issues of research design in considerable depth and focuses on more advanced statistical applications. General linear models and nonlinear relationships. The extraction and rotation of common factors by graphical and analytic means. Factor analysis as a tool in the construction of educational and psychological inventories. Structural equation modelling. The extension of factorial analysis of variance designs to include many dependent variables. Application of factor analysis and multivariate analysis of variance to educational research problems. Use of computer package programs.